Descripción
ava & AI Developer Job Description Experience: 39 Years | Full-Time Responsibilities Design and develop scalable Spring Boot microservices and REST APIs with OAuth2 security Build server-side web interfaces using Thymeleaf and integrate with backend services Work with Oracle/MongoDB databases and implement Hibernate-based data access layers Build and integrate Generative AI / RAG pipelines using LangChain, LangGraph, CrewAI, or AutoGen Develop AI Agents and Multi-Agent Systems with LLM integrations and Vector Databases Implement MLOps practices and AI Guardrails to ensure responsible, safe, and governed AI deployments Use Amazon Q and GitHub Copilot to accelerate development and AI-assisted engineering Collaborate with scrum teams and product owners to deliver high-quality, high-performance SaaS solutions Skills Required Java/J2EE, Spring, Spring Boot, Microservices, Multi-Threading, Hibernate, Thymeleaf REST APIs, Web Services, OAuth2, Tomcat/WebLogic, Oracle, MongoDB, BIRT Reports Python, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Semantic Kernel LLMs, Prompt Engineering, RAG, Conversational AI, Vector DBs (Pinecone, FAISS, OpenSearch) MLOps model versioning, monitoring, deployment pipelines, and drift detection AI Guardrails content filtering, safety policies, responsible AI, and prompt injection prevention AWS (Lambda, S3, API Gateway, DynamoDB, ECS/EKS) | Docker, Git, CI/CD Hands-on experience with Amazon Q Developer and GitHub Copilot for AI-assisted coding AWS Certifications and Angular experience are a plus ##LI-DNIava & AI Developer Job Description Experience: 39 Years | Full-Time Responsibilities Design and develop scalable Spring Boot microservices and REST APIs with OAuth2 security Build server-side web interfaces using Thymeleaf and integrate with backend services Work with Oracle/MongoDB databases and implement Hibernate-based data access layers Build and integrate Generative AI / RAG pipelines using LangChain, LangGraph, CrewAI, or AutoGen Develop AI Agents and Multi-Agent Systems with LLM integrations and Vector Databases Implement MLOps practices and AI Guardrails to ensure responsible, safe, and governed AI deployments Use Amazon Q and GitHub Copilot to accelerate development and AI-assisted engineering Collaborate with scrum teams and product owners to deliver high-quality, high-performance SaaS solutions Skills Required Java/J2EE, Spring, Spring Boot, Microservices, Multi-Threading, Hibernate, Thymeleaf REST APIs, Web Services, OAuth2, Tomcat/WebLogic, Oracle, MongoDB, BIRT Reports Python, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Semantic Kernel LLMs, Prompt Engineering, RAG, Conversational AI, Vector DBs (Pinecone, FAISS, OpenSearch) MLOps model versioning, monitoring, deployment pipelines, and drift detection AI Guardrails content filtering, safety policies, responsible AI, and prompt injection prevention AWS (Lambda, S3, API Gateway, DynamoDB, ECS/EKS) | Docker, Git, CI/CD Hands-on experience with Amazon Q Developer and GitHub Copilot for AI-assisted coding AWS Certifications and Angular experience are a plus
A little about ADP: We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition.
Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.
Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP’s culture and our full set of values.
